Jul 19, 2018
Excellent course, I learned a lot about machine learning with big data, but most importantly I feel ready to take it into more complex level although I realized there is lots to learn.
Mar 06, 2020
This is starting course for Machine Learning. Very well explained and after finishing this course, one will get interest in continuing and exploring further in Machine Learning field.
By Jose L R•
Sep 20, 2018
It's a very good introductory course, in this course we acquire the first notions on clustering, association, classification and regression.
By Billy P•
Apr 20, 2017
Really fun, glad I finally finished. I got so distracted running off and learning things. I got familiar with scala and python along the way too.
By Ankur K•
Aug 19, 2017
Love this course , given me good understanding of Machine Learning , Also introduced two tools - KNIME and Spark Mlib with really good hands on
By Mihai-Bogdan Z•
Aug 28, 2020
Very nice, facile explanations, makes it easy to understand the friendly part of ML but not the mathematical part which is way more difficult.
By Fernando A S G•
Jul 26, 2017
Wonderful teacher! Excellent course! But if you really want to learn Machine learning with Big Data, you have to work yourself on a project
By William J C•
Sep 25, 2019
I learned a lot. The course structure, topics, explanations and activities were very precise. Thanks to the tutors.
By Raunak S•
Apr 21, 2018
nice course for those who desire to gain a basic level knowledge of machine learning and its implementation in the field of big data.
By Daniel E Y M•
Mar 13, 2020
Muy buen curso para introducirse en las nociones básicas de aprendizaje automático, además de algunas herramientas para reaizarlo.
By Edward F•
Jul 09, 2018
another great hands-on course using applications Knime and Spark. I learned quite a bit and expanded my career horizons. Thanks!
By João F•
Jul 18, 2020
Great course with detailed explanations of complex topics and very good assignments. A big "thank you" to the teaching staff!
By Mahamat N A M•
Jan 30, 2019
The courses was really easy to understand and useful for anyone who want to get insight about big data with machine learning.
By Chandrakanth B•
Dec 06, 2019
Wonder full information i could able to learn, in this module it has been shown how ML is helps or used in to Big data area.
By William B•
Apr 08, 2018
Really well delivered. Very good presentations and the hands-on labs did a good job of reinforcing the presented material.
By Amit M•
Dec 05, 2019
Extremely good. Lot of learning and course is very well designed and simple to understand. Thanks a lot for such courses.
By Carlos M•
Sep 25, 2020
Excellent course. The tools and its explanation were very useful for understanding the key concepts of Machine Learning
By vrunda k•
Aug 02, 2020
It was an excellent course for beginners. The Lectures were very good. Lot of learning happened. Content was wonderful.
By Ahmed R•
Feb 17, 2020
I will surely recommend to others about this course. This built my basic pillars of Machine Learning.
By Thomas M•
Aug 14, 2018
This is a very good introductory course that benefits from excellent teaching and materials. It is highly recommended.
By Pedro E R J•
May 10, 2020
It was a great course. Best course ever participated in coursera. I'm so glad to have been part of it, thank you all!
By Daniela V O•
Mar 10, 2018
Excelente course, I will continue learning and practicing all the concepts that explained in this course. Thank you!!
By Aakarsh G•
May 22, 2017
One of the best courses in the series with a good mix of theory and hand-on exercise on ML implementation in big data
Mar 20, 2019
Fantastic course and for users new to Spark an amazing hands-on introduction providing actual programming experience
By Achmad Z•
Jun 06, 2020
Great course in introduction to applying machine learning technique in BigData environment, especially using Spark.
By Guilherme D C T•
May 26, 2019
So far, the most enjoyable course of the specialization. The lectures were engaging and very application oriented.
By Sunil B•
Mar 10, 2018
Great course - would recommend further details towards the end of course lectures..more explanation on the graphs.